code: def test_get_dimensions_is_correct(self):
      lstm = LSTM(
          bidirectional=True,
          num_layers=3,
          input_size=2,
          hidden_size=7,
          batch_first=True,
      )
      encoder = PytorchSeq2VecWrapper(lstm)
      assert encoder.get_output_dim() == 14
      assert encoder.get_input_dim() == 2
      lstm = LSTM(
          bidirectional=False,
          num_layers=3,
          input_size=2,
          hidden_size=7,
          batch_first=True,
      )
      encoder = PytorchSeq2VecWrapper(lstm)
      assert encoder.get_output_dim() == 7
      assert encoder.get_input_dim() == 2
  
file_path: allennlp/tests/modules/seq2vec_encoders/pytorch_seq2vec_wrapper_test.py
imports: import pytest
  from numpy.testing import assert_almost_equal
  import torch
  from torch.nn import LSTM
  from torch.nn.utils.rnn import pack_padded_sequence
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2vec_encoders import PytorchSeq2VecWrapper
  from allennlp.nn.util import sort_batch_by_length, get_lengths_from_binary_sequence_mask
  from allennlp.modules.stacked_alternating_lstm import StackedAlternatingLstm
label_desc: Use image node_id 1 for calling the TestPytorchSeq2VecWrapper obj's underlying member method code with example usage: obj.test_get_dimensions_is_correct() without return types